Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem

Tags: statistics

All Categories (1-20 of 81)

  1. Renee Dale

    https://qubeshub.org/community/members/13782

  2. Omayra Ortega

    https://qubeshub.org/community/members/13504

  3. Statistics Overview

    09 Sep 2019 | Teaching Materials | Contributor(s):

    By Claudia Neuhauser

    University of Houston

    A Numbers Count statistics diagram

    https://qubeshub.org/qubesresources/publications/1407/?v=1

  4. Sarah Lee

    https://qubeshub.org/community/members/12867

  5. REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1314/?v=1

  6. Hwayeon Ryu - Bio-Stats learning community

    Collections | 01 Aug 2019 | Posted by Carrie Diaz Eaton

    https://qubeshub.org/community/groups/smb/collections/smb-2019-presentations

  7. Marney Pratt

    https://qubeshub.org/community/members/12436

  8. Bob Carey

    https://qubeshub.org/community/members/12398

  9. Radiant Lite

    24 Jul 2019 | | Contributor(s):: Drew LaMar

    Stripped down version of Radiant on QUBES

  10. Passion-Driven Statistics

    03 Jun 2019 | Teaching Materials | Contributor(s):

    By Lisa Dierker

    Wesleyan University

    E-book in .pdf format and customizable .iba format

    https://qubeshub.org/qubesresources/publications/1257/?v=1

  11. MS in Data Science at University of Delaware

    Collections | 23 Jan 2019 | Posted by Alycia Crall

    https://qubeshub.org/community/groups/edsin/collections/opportunities-in-the-field

  12. Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3

    1. Viterbo University 2. Juniata College 3. Pennsylvania State University

    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    https://qubeshub.org/qubesresources/publications/1005/?v=1

  13. Dovi Kacev

    https://qubeshub.org/community/members/10266

  14. Kate S Boersma

    https://qubeshub.org/community/members/10172

  15. Andrew Tyre

    https://qubeshub.org/community/members/10057

  16. Geraldine Klarenberg

    https://qubeshub.org/community/members/9762

  17. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/qubesresources/publications/913/?v=1

  18. 50 Years of Data Science

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By David Donoho

    Stanford University

    This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...

    https://qubeshub.org/qubesresources/publications/912/?v=1

  19. Java Applets for Power and Sample Size

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Russ Lenth

    Statistics and Actuarial Science Department, University of Iowa

    This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.

    https://qubeshub.org/qubesresources/publications/899/?v=1

  20. Statistics for Biologists

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1

    Nature

    There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

    https://qubeshub.org/qubesresources/publications/897/?v=1